Just a few days ago we've announced a Prophecy for Databricks. This blog post if Part 2 of that announcement, where we dig into how Prophecy makes data engineering simple for any data practitioner on Databricks.
In this blog, we’ll learn about the concept of financial reporting, its importance and the various challenges faced while generating an efficient and reliable financial report, and how Prophecy makes the complete process plain sailing.
Learn about four main pillars of productive & powerful Low Code Data Engineering on Spark. See all the pieces in action!
Learn more about the evolution of data architectures from traditional ETL, through two-tier, to modern Data Lakehouse. Explore how Prophecy can enable you to leverage the Lakehouse, by making common use-cases like advanced merges and slowly changing dimensions significantly easier!
Prophecy is delighted to announce that we raised a $25M Series A led by Insight Partners, with participation from SignalFire, Dig Ventures & Berkeley SkyDeck
We are excited to be a part of Databricks Partner connect. Read this blog to learn how Databricks Partner Connect makes getting started with Prophecy simple with single click signup and sign-in.
In this blog, we compare the advantages and disadvantages of each programming model with a focus on usability and expressibility.
Prophecy presented a complete Low-Code Data Engineering product with a sessions for Low-Code Spark, Low-Code Airflow, and Column-level lineage - where hundreds attended - here are the poll results.
Learn about four main pillars of productive & powerful Low Code Data Engineering on Spark. See all the pieces in action!
Announcing the launch of Prophecy SaaS
The disruption is agile software practices in Data Engineering made usable for the many. Allow me to explain:
We discuss the two cloud Data Engineering Architectures and help decide which on to pick as you move your ETL to the Cloud.
We're excited to share what we have built with you. Sign up and let us know what you think!
Prophecy has innovated in metadata management by merging code on git with metadata making it code-first
Prophecy computes column level lineage from code for Spark code on Git.
Prophecy IDE enables visual and code developers to produce high quality Spark code.
Parser combinators allow you to quickly develop sophisticated parsers, see how to use them.
Customer discovery is essential to figuring out product market fit, learn how to do it well and when to use it.
Prophecy.io is a high-performance, zero compromise cloud native data engineering product powered by Spark for Enterprise Data Engineering teams.
